Engineers at the University of California have developed a new data structure and compression technique that enables the ...
CrowdStrike's 2025 data shows attackers breach AI systems in 51 seconds. Field CISOs reveal how inference security platforms ...
According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...
Discover why Carvana (CVNA) faces 54% downside risk. Learn about EBITDA threats, regulatory investigations, and key risks for ...
Oil-Dri Corporation of America ODC continues to demonstrate resilience amid a challenging operating backdrop, outperforming both its industry peers and the broader market over the past year. While ...
Enhance search relevance by implementing a local OpenSearch semantic search pipeline that includes hosting a text embedding model within OpenSearch, refactoring ingestion scripts/pipelines to generate ...
Abstract: In industrial processes, accurate, real-time soft sensor modeling of key product indices is essential for optimal process control and improved product quality. However, the nonstationary ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
Abstract: Transliteration normalization is a crucial task for low-resource languages, particularly for Mongolian, where noisy text from social media presents significant challenges. The frequent use ...
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback